Evidence map›Paper›PMID 28289540›Full record

ArticleBMC biophysics2017

BFPTool: a software tool for analysis of Biomembrane Force Probe experiments.

Daniel Šmít, Coralie Fouquet, Mohamed Doulazmi, Frédéric Pincet, Alain Trembleau, Martin Zapotocky

Abstract read
In one paragraph

Article in BMC biophysics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Daniel ŠmítInstitute of Physiology, Czech Academy of Sciences, Vídeňská 1083, Prague, 14220 Czech Republic.
Coralie FouquetSorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neurosciences Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 9 Quai Saint Bernard, Paris, 75005 France.
Mohamed DoulazmiSorbonne Université, UPMC Univ Paris 06, CNRS, Biological Adaptation and Ageing - Institut de Biologie Paris Seine (B2A - IBPS), 7 Quai Saint Bernard, Paris, 75005 France.
Frédéric PincetLaboratoire de Physique Statistique, École Normale Supérieure, PSL Research University, Paris, France.
Alain Trembleau *Sorbonne Université, UPMC Univ Paris 06, INSERM, CNRS, Neurosciences Paris Seine - Institut de Biologie Paris Seine (NPS - IBPS), 9 Quai Saint Bernard, Paris, 75005 France.
Martin Zapotocky *Institute of Physiology, Czech Academy of Sciences, Vídeňská 1083, Prague, 14220 Czech Republic.ORCID 0000-0002-0437-2528

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Biomembrane Force Probe is an approachable experimental technique commonly used for single-molecule force spectroscopy and experiments on biological interfaces. The technique operates in the range of forces from 0.1 pN to 1000 pN. Experiments are typically repeated many times, conditions are often not optimal, the captured video can be unstable and lose focus; this makes efficient analysis challenging, while out-of-the-box non-proprietary solutions are not freely available.

resultsThis dedicated tool was developed to integrate and simplify the image processing and analysis of videomicroscopy recordings from BFP experiments. A novel processing feature, allowing the tracking of the pipette, was incorporated to address a limitation of preceding methods. Emphasis was placed on versatility and comprehensible user interface implemented in a graphical form.

conclusionsAn integrated analytical tool was implemented to provide a faster, simpler and more convenient way to process and analyse BFP experiments.

Indexed as

Biomembrane Force ProbeCell mechanicsForce spectroscopyImage analysisMotion tracking

Identifiers

PMID28289540
PMCPMC5304404

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.